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A reliability assessment of the heating from a hybrid energy source based on combined heat and power and wind power plants

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  • Postnikov, Ivan

Abstract

Nowadays, improvement in fuel economy (efficiency enhancement) and reduction in emissions are pressing issues for many energy systems. One of the most promising solutions is an integration of renewable with conventional energy sources running on fossil fuels. Hybrid energy sources have the advantages of both technologies and can significantly improve the efficiency of energy supply to consumers. At the same time, the non-stationary units operating as part of a hybrid energy source can cause problems with the energy (electrical and thermal energy) supply reliability (when analyzed and ensured). This study focuses on analysis (assessment) of reliability of heat output (supply) from a hybrid energy source based on a wind power plant (WPP) and a combined heat and power plant (CHPP) operating on fossil fuel since the CHPP operates following a thermal energy profile. The essential energy benefit of the proposed technology is the replacement of part of fossil fuel in the efficient heat and power cogeneration cycle at CHPP by energy generated from WPP. The methods proposed to solve reliability problem are based on some laws of the reliability theory, Markov random processes, the graph theory, etc. The reliability analysis also considers the change in heat loads, the heat storage effect (thermal inertia), and the random fluctuations in wind speed. The results of the case example have been analyzed, and some qualitative relationships characterizing general properties for similar objects have been obtained.

Suggested Citation

  • Postnikov, Ivan, 2022. "A reliability assessment of the heating from a hybrid energy source based on combined heat and power and wind power plants," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    • Handle: RePEc:eee:reensy:v:221:y:2022:i:c:s0951832022000497
    DOI: 10.1016/j.ress.2022.108372
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    References listed on IDEAS

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    1. Artigao, Estefania & Martín-Martínez, Sergio & Honrubia-Escribano, Andrés & Gómez-Lázaro, Emilio, 2018. "Wind turbine reliability: A comprehensive review towards effective condition monitoring development," Applied Energy, Elsevier, vol. 228(C), pages 1569-1583.
    2. Postnikov, Ivan & Stennikov, Valery & Mednikova, Ekaterina & Penkovskii, Andrey, 2018. "Methodology for optimization of component reliability of heat supply systems," Applied Energy, Elsevier, vol. 227(C), pages 365-374.
    3. Eryilmaz, Serkan & Devrim, Yilser, 2019. "Theoretical derivation of wind plant power distribution with the consideration of wind turbine reliability," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 192-197.
    4. Eryilmaz, Serkan & Kan, Cihangir, 2020. "Reliability based modeling and analysis for a wind power system integrated by two wind farms considering wind speed dependence," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    5. Eryilmaz, Serkan & Bulanık, İrem & Devrim, Yilser, 2021. "Reliability based modeling of hybrid solar/wind power system for long term performance assessment," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    6. Kan, Cihangir & Devrim, Yilser & Eryilmaz, Serkan, 2020. "On the theoretical distribution of the wind farm power when there is a correlation between wind speed and wind turbine availability," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    7. Guo, Haitao & Watson, Simon & Tavner, Peter & Xiang, Jiangping, 2009. "Reliability analysis for wind turbines with incomplete failure data collected from after the date of initial installation," Reliability Engineering and System Safety, Elsevier, vol. 94(6), pages 1057-1063.
    8. Eryilmaz, Serkan & Navarro, Jorge, 2022. "A decision theoretic framework for reliability-based optimal wind turbine selection," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    9. Lisnianski, Anatoly & Elmakias, David & Laredo, David & Ben Haim, Hanoch, 2012. "A multi-state Markov model for a short-term reliability analysis of a power generating unit," Reliability Engineering and System Safety, Elsevier, vol. 98(1), pages 1-6.
    10. Adedipe, Tosin & Shafiee, Mahmood & Zio, Enrico, 2020. "Bayesian Network Modelling for the Wind Energy Industry: An Overview," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    11. Slot, René M.M. & Sørensen, John D. & Sudret, Bruno & Svenningsen, Lasse & Thøgersen, Morten L., 2020. "Surrogate model uncertainty in wind turbine reliability assessment," Renewable Energy, Elsevier, vol. 151(C), pages 1150-1162.
    12. Li, Yao & Coolen, Frank P.A. & Zhu, Caichao & Tan, Jianjun, 2020. "Reliability assessment of the hydraulic system of wind turbines based on load-sharing using survival signature," Renewable Energy, Elsevier, vol. 153(C), pages 766-776.
    13. Pliego Marugán, Alberto & Peco Chacón, Ana María & García Márquez, Fausto Pedro, 2019. "Reliability analysis of detecting false alarms that employ neural networks: A real case study on wind turbines," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    14. Gvozdenac, Dušan & Urošević, Branka Gvozdenac & Menke, Christoph & Urošević, Dragan & Bangviwat, Athikom, 2017. "High efficiency cogeneration: CHP and non-CHP energy," Energy, Elsevier, vol. 135(C), pages 269-278.
    15. Shaheen, Abdullah M. & Ginidi, Ahmed R. & El-Sehiemy, Ragab A. & Elattar, Ehab E., 2021. "Optimal economic power and heat dispatch in Cogeneration Systems including wind power," Energy, Elsevier, vol. 225(C).
    16. Wang, Feng & Chen, Jincheng & Xu, Bing & Stelson, Kim A., 2019. "Improving the reliability and energy production of large wind turbine with a digital hydrostatic drivetrain," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    17. Harmsen, Robert & Crijns-Graus, Wina, 2021. "Unhiding the role of CHP in power & heat sector decomposition analyses," Energy Policy, Elsevier, vol. 152(C).
    18. Leimeister, Mareike & Kolios, Athanasios, 2021. "Reliability-based design optimization of a spar-type floating offshore wind turbine support structure," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    19. Eryilmaz, Serkan, 2018. "Reliability analysis of multi-state system with three-state components and its application to wind energy," Reliability Engineering and System Safety, Elsevier, vol. 172(C), pages 58-63.
    20. Shu, Liwei & Chen, Lingen & Jin, Jiashan & Yu, Jun & Sun, Fengrui & Wu, Chih, 2005. "Functional reliability simulation for a power-station's steam-turbine," Applied Energy, Elsevier, vol. 80(1), pages 61-66, January.
    21. Wang, Jiang-Jiang & Fu, Chao & Yang, Kun & Zhang, Xu-Tao & Shi, Guo-hua & Zhai, John, 2013. "Reliability and availability analysis of redundant BCHP (building cooling, heating and power) system," Energy, Elsevier, vol. 61(C), pages 531-540.
    22. Habibi, Hamed & Howard, Ian & Simani, Silvio, 2019. "Reliability improvement of wind turbine power generation using model-based fault detection and fault tolerant control: A review," Renewable Energy, Elsevier, vol. 135(C), pages 877-896.
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    4. S Golui & BS Mahapatra & GS Mahapatra, 2025. "System reliability analysis of thermal power plant using novel approach to pythagorean fuzzy numbers operations," Journal of Risk and Reliability, , vol. 239(6), pages 1346-1363, December.
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    7. Hu, Yishuang & Ding, Yi & Bao, Minglei, 2024. "An efficient reliability evaluation method for large-scale multi-performance multi-state series-parallel systems considering multi-dimensional approximation," Reliability Engineering and System Safety, Elsevier, vol. 252(C).

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